Prediction of estimated glomerular filtration rate slope and kidney prognosis of patients with chronic kidney disease
Abstract Chronic kidney disease (CKD) is a significant global health challenge, yet the application of eGFR slope as a metric for CKD progression remains underdeveloped in primary care settings. Using data from J-CKD-DB-Ex, Japan’s largest CKD database, we developed and validated a machine learning-...
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| Principais autores: | , , , , , , , , |
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| Format: | Artigo |
| Sprog: | Inglês |
| Udgivet: |
Nature Portfolio
2026-02-01
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| Serier: | Scientific Reports |
| Online adgang: | https://doi.org/10.1038/s41598-026-38246-8 |
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